[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …
[HTML][HTML] Leveraging machine learning for efficient EV integration as mobile battery energy storage systems: Exploring strategic frameworks and incentives
The emergence of electric vehicles is resha** the energy landscape, requiring the
development of innovative energy integration mechanisms to engage prosumers. However …
development of innovative energy integration mechanisms to engage prosumers. However …
A coordinated active and reactive power optimization approach for multi-microgrids connected to distribution networks with multi-actor-attention-critic deep …
L Dong, H Lin, J Qiao, T Zhang, S Zhang, T Pu - Applied Energy, 2024 - Elsevier
As a promising approach to managing distributed energy, the use of microgrids has attracted
significant attention among those managing continuous connections to distribution networks …
significant attention among those managing continuous connections to distribution networks …
Distributed training and distributed execution-based Stackelberg multi-agent reinforcement learning for EV charging scheduling
J Zhang, L Che, M Shahidehpour - IEEE Transactions on Smart …, 2023 - ieeexplore.ieee.org
Multi-agent deep reinforcement learning (MADRL) has been applied to EV charging
scheduling. However, it relies on centralized training and thus is significantly challenged by …
scheduling. However, it relies on centralized training and thus is significantly challenged by …
Graph learning-based voltage regulation in distribution networks with multi-microgrids
Microgrids (MGs), as localized small power systems, can effectively provide voltage
regulation services for distribution networks by integrating and managing various distributed …
regulation services for distribution networks by integrating and managing various distributed …
[HTML][HTML] Smart distribution network operation based on energy management system considering economic-technical goals of network operator
Z Yan, Z Gao, RB Navesi, M Jadidoleslam, A Pirouzi - Energy Reports, 2023 - Elsevier
This paper expresses economic flexible–securable operation (EFSO) in smart distribution
networks (SDNs), including distributed generation and storage systems to produce green …
networks (SDNs), including distributed generation and storage systems to produce green …
Meta-learning based voltage control strategy for emergency faults of active distribution networks
With the increase of energy demand and the continuous development of renewable energy
technology, active distribution networks have become increasingly important. However, the …
technology, active distribution networks have become increasingly important. However, the …
[HTML][HTML] Multi-agent reinforcement learning for electric vehicle decarbonized routing and scheduling
Low-carbon transitions require joint efforts from electricity grid and transport network, where
electric vehicles (EVs) play a key role. Particularly, EVs can reduce the carbon emissions of …
electric vehicles (EVs) play a key role. Particularly, EVs can reduce the carbon emissions of …
[HTML][HTML] Coordinated voltage regulation of high renewable-penetrated distribution networks: An evolutionary curriculum-based deep reinforcement learning approach
With the increasing penetration of renewable energy in active distribution networks (ADNs),
voltage regulation problem is becoming more and more challenging. In this article, we focus …
voltage regulation problem is becoming more and more challenging. In this article, we focus …
[HTML][HTML] A multilayer voltage intelligent control strategy for distribution networks with v2g and power energy production-consumption units
The large-scale application of distributed power generation and the prospects of vehicle to
grid (V2G) technology lead to unstable operating voltage of the distribution network, but also …
grid (V2G) technology lead to unstable operating voltage of the distribution network, but also …